codd-assemble

codd-assemble is a skill for Claude Code, Codex from yohey-w/codd-dev. It costs 64 tokens per session (840 once invoked), scanned A, original, MIT.

A final assembly step that combines generated project fragments and design documents into one buildable project, including its configuration, entry points, and source files.

In plain words
What is it for?
Use it at the end of a greenfield build when generated fragments exist in sprint folders and the design documents have valid metadata.
Why use it?
It removes the manual work of joining code produced across separate implementation sprints. It creates the unified project after all sprint fragments are ready.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/yohey-w/codd-dev/codd-assemble
Any agent
npx skills add yohey-w/codd-dev --skill codd-assemble
Clone the repo
git clone --depth 1 https://github.com/yohey-w/codd-dev

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for codd-assemble

README.md
[![agentmods](https://agentmods.dev/badge/skills/yohey-w/codd-dev/codd-assemble.svg)](https://agentmods.dev/skills/yohey-w/codd-dev/codd-assemble)
Your own site
<a href="https://agentmods.dev/skills/yohey-w/codd-dev/codd-assemble"><img src="https://agentmods.dev/badge/skills/yohey-w/codd-dev/codd-assemble.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 840 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00064 $0.00840
Opus 5 $0.00032 $0.00420
Sonnet 5 $0.00013 $0.00168
Haiku 4.5 $0.00006 $0.00084

Measured 4d ago against content hash 316fef4184a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codd-assemble scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/codd-assemble/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CoDD Assemble

Assemble generated sprint fragments into a complete, buildable project. This is the final step in the greenfield pipeline after codd implement.

Usage

Use this skill after all sprints have been generated via codd implement. The assembler reads design documents and generated code fragments, then invokes AI to produce a unified project with all configuration files, entry points, and source code.

Prerequisites

  1. codd implement has been run for all sprints.
  2. Generated fragments exist in src/generated/sprint_N/ directories.
  3. Design documents exist in docs/ with valid frontmatter.

Workflow

# Basic usage — assembles into src/
codd assemble --path .

# Custom output directory
codd assemble --path . --output-dir app

# Override AI command (e.g., use a different model)
codd assemble --path . --ai-cmd 'claude --print --model claude-opus-4-6 --tools ""'

What It Does

  1. Collects all design documents (architecture, component design, state management, etc.)
  2. Collects all generated code fragments from src/generated/sprint_N/
  3. Builds a prompt with both design context and code fragments
  4. Invokes AI to produce a unified project:
    • Project configuration: package.json, tsconfig.json, next.config., tailwind.config., etc.
    • Entry points: app/layout.tsx, app/page.tsx, globals.css, etc.
    • Source code: components, utilities, types, hooks, reducers
  5. Parses === FILE: path === blocks from AI output and writes files

Output

Files are written relative to the project root. The assembler produces both:

  • Configuration files at the project root (package.json, tsconfig.json, etc.)
  • Source files under the output directory (default: src/)

HITL Gate

After assembly, verify the project builds:

# For Node.js/TypeScript projects
npm install
npm run build

# For Python projects
python -m pytest

If the build fails, check:

  • Missing imports between assembled files
  • Configuration mismatches (TypeScript strict mode, module resolution)
  • Framework-specific entry point conventions

Read the full file on GitHub · 109 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 109 lines · 64 tokens per session scan A 316fef4184a9

Subscribe to this mod's changes

codd-assemble is a skill published in the GitHub repository yohey-w/codd-dev (114 stars, last pushed 23d ago), licensed MIT. It adds 64 tokens to every session and 840 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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